Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Set technical vision for Pinterest’s Product ML Infrastructure, leading distributed model training, fine-tuning, evaluation, and high-scale CPU/GPU inference. Improve GPU efficiency, data loading, execution, kernels, memory, compilation, quantization, scheduling, and capacity. Build reliable, observable training and serving platforms, drive architecture decisions and migrations, partner with AI/ML teams, mentor senior engineers, and establish operational standards across the organization.

Leads Pinterest’s advertiser measurement and signal-quality engineering organization, defining multi-year strategy across machine learning, data platforms, experimentation, privacy, and reliability. Manages managers and senior technical leaders, partners with product and cross-functional teams, drives scalable solutions for advertiser challenges, improves model quality and data integrity, establishes governance mechanisms, communicates with executives, and builds an inclusive high-performing organization.

Design and develop machine learning algorithms for target ROAS, automatic bidding, and ads pacing. Explore bid landscapes, optimize advertiser value and revenue, conduct A/B experiments, and collaborate with product, sales, and engineering teams on new ad products and bidding strategies. Provide staff-level technical leadership, drive cross-team alignment, and use AI-assisted development and productivity tools to improve engineering workflows.

Leads the technical vision and execution of Pinterest’s large-scale indexing and retrieval infrastructure across Core, Ads, and Shopping. Drives architecture modernization, real-time and incremental retrieval, shared platform capabilities, metrics, debugging workflows, and improvements in relevance, freshness, reliability, coverage, and cost. Partners across engineering, product, ML, and infrastructure organizations, mentors senior technical staff, and validates AI-assisted engineering work with strong attention to correctness, privacy, safety, and operational excellence.

Leads an analytics engineering team supporting Core Data Science by building reliable data foundations, tooling, analysis pipelines, and self-service datasets. Establishes instrumentation, experimentation, documentation, data quality, and democratization practices. Partners with data scientists, engineers, product managers, designers, and researchers to turn insights into product impact. Requires expertise in large-scale data manipulation, SQL, Python or R, ETL/ELT, workflow orchestration, and AI-assisted analysis, along with engineering management experience.

Lead and mentor analytics engineers while building scalable data foundations, instrumentation, experimentation practices, AI-assisted analysis tools, ETL/ELT pipelines, and self-service datasets. Partner with data scientists, engineers, product managers, designers, and researchers to improve data quality, documentation, metric investigations, and insight-driven decision-making. Drive analytics engineering strategy, workflow optimization, and responsible use of AI across analysis and development processes.

Develop and deploy responsible AI solutions that identify, measure, and mitigate bias across Pinterest’s large-scale machine learning applications, including generative AI, search, and recommendation systems. Collaborate with trust and safety, user modeling, content understanding, and engineering teams to adopt fairness tooling and practices. Mentor engineers, contribute to technical strategy, and bridge advanced research with product impact.

Lead performance and efficiency initiatives for Pinterest's large-scale, cloud-native infrastructure. Improve Kubernetes and distributed system efficiency, build profiling and optimization tooling, collaborate with Infrastructure and SRE teams, leverage AI to accelerate investigations and provide self-serve efficiency recommendations, and validate impact through measurement and experiments.

Manage infrastructure capacity and efficiency programs, tracking execution, schedules, risks, and stakeholder communications. Partner with engineering teams on cloud usage, cost optimization, right-sizing, utilization, and waste reduction. Use AI, dashboards, data analysis, scripting, and workflow improvements to streamline program operations and decision-making. Support governance, validation, auditability, and responsible AI use while collaborating with senior technical program managers and infrastructure partners.

Drive new business and revenue growth for tvScientific’s affiliate CPA team. Responsibilities include prospecting, qualifying, presenting, negotiating, and closing high-value client accounts; building strategic relationships; exceeding sales quotas; developing sales pipelines; and coordinating with account management, product, and support teams for onboarding. The role requires deep knowledge of affiliate marketing, performance marketing, CTV, digital media, and ad tech, plus effective use of AI for account research and outreach.